AOI Squad Orchestrator (Lite)

A skill where the agent logs it's own findings for self-improvement

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express...

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured co...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...

Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.

Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection

Prevents LLM API 429 errors by estimating tokens, tracking quotas, throttling requests, detecting duplicates, caching responses, and auto-fallback by model.

AOI Triple Memory (Lite) — file search + decision notes templates (no plugins).

Public-safe hackathon source registry + filtering output (no crawling, no submissions).

Creates snapshots of critical config files, validates JSON configs for syntax and keys, and generates audit logs without applying changes.

Create and edit macOS hackathon demo clips via terminal commands to record, crop, trim, and apply presets using ffmpeg/ffprobe locally.